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A new dynamic calibration algorithm for odometer's scale factor

  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

A new dynamic calibration algorithm for odometer's scale factor is proposed in this paper. In modern system, Kalman filter is used to perform the calibration, however, classical Kalman filter isn't very effective to deal with the influences of the kind of measurement outliers and kinematic state disturbing. In this paper, adaptive robust Kalman filter is proposed to overcome the impact of scale factor error to the accuracy of SINS/Odometer system. Simulation indicates that the algorithm can identify the odometer's scale factor accurately within few seconds, so as to improve the accuracy of navigation.

源语言英语
主期刊名16th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2009 - Proceedings
编辑A.K. Krytova, Vladimir G. Peshekhonov
出版商State Research Center of the Russian Federation
页220-222
页数3
ISBN(电子版)9785900780696
出版状态已出版 - 2009
活动16th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2009 - Saint Petersburg, 俄罗斯联邦
期限: 25 5月 2009 → 27 5月 2009

丛书

姓名16th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2009 - Proceedings

会议

会议16th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2009
国家/地区俄罗斯联邦
市Saint Petersburg
时期25/05/09 → 27/05/09

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